AI Copilots & Assistants
In-product copilots that understand your data and take action — grounded on your knowledge base with retrieval, tools and guardrails.
A complete ai & agentic ai capability — from strategy to launch and beyond.
In-product copilots that understand your data and take action — grounded on your knowledge base with retrieval, tools and guardrails.
Autonomous, multi-step agents that plan, call tools and complete tasks end to end, with human-in-the-loop checkpoints where it matters.
Retrieval-augmented generation over your documents, tickets and databases so answers are accurate, cited and always up to date.
Replace manual, repetitive workflows with AI pipelines that classify, extract, summarize and route — wired straight into your stack.
Forecasting, scoring and recommendation engines that turn your data into decisions and revenue.
Prompt management, evals, tracing, cost controls and safety filters so your AI stays reliable as it scales.
A clear, collaborative path from idea to impact — with no surprises.
We map the workflow, data and the ROI case for AI.
We structure, index and secure your knowledge sources.
A working proof-of-value in days, measured against real evals.
We productionize with guardrails, tools and observability.
Accuracy, safety and cost tested against a golden dataset.
Continuous tuning as usage and data grow.
Modern, battle-tested tools chosen for performance, reliability and longevity.
Faster manual workflows
To first working prototype
Vendor lock-in
Traced & evaluated outputs
Yes. We can integrate AI into your existing web or mobile product without rebuilding it from scratch. We add copilots, RAG, agents, intelligent automation, or predictive features directly into your current stack.
We use techniques such as retrieval-augmented generation, structured outputs, tool restrictions, evaluation datasets, confidence checks, and human-in-the-loop workflows. We also continuously monitor AI behavior in production.
We work with leading models from providers such as OpenAI, Anthropic, and Google Gemini. We choose the model based on accuracy, latency, cost, context requirements, and your product's specific needs rather than locking you into one provider.
Yes. We build agentic workflows that can reason through multi-step tasks, call APIs and tools, retrieve information, update systems, and complete actions. Human approval checkpoints can be added wherever additional control is required.
Yes. We can build secure AI systems around your documents, databases, tickets, and internal knowledge without requiring you to expose sensitive data publicly. Access controls, retrieval permissions, and data isolation are designed into the architecture.
We define measurable evaluation criteria before scaling. AI responses can be tested against representative datasets for accuracy, relevance, safety, latency, and cost, with tracing and monitoring used to identify issues in production.
For well-defined use cases, we can usually build a working proof of value within days. We start with a focused workflow, validate it against real examples, and then productionize it once the expected business value is clear.
Yes. We build agentic AI systems and AI agents for clients across the United States, the United Arab Emirates, Saudi Arabia, Singapore, the Netherlands, France and the rest of Europe, the United Kingdom, Australia and India. We work remotely with overlapping hours in your time zone, communicate in English, French or Arabic, and can deploy AI systems in the cloud region you need for data-residency requirements such as GDPR in Europe.
Tell us about your product and we'll recommend the right mix.